جست‌وجوی استاد و پژوهشگر

An H Doمشاهده پروفایل

دانشیار

• Brain-Computer Interfaces
• Neurorehabilitation
• Spinal Cord Injury
• +۷ مورد دیگر

An H Do, MD is an Associate Professor in the Department of Neurology at the University of California, Irvine School of Medicine . His research focuses on advanced neurotechnologies for restoring motor and sensory functions post-injury. Academic Affiliation: UCI School of Medicine, Department of Neurology Key Research Areas: Brain-Computer Interfaces, Neurorehabilitation, Spinal Cord Injury, Stroke Recovery, Implantable Neuroprosthetics Research Interests Dr. Do develops bi-directional brain-computer interfaces (BD-BCIs) that enable cortical control of robotic exoskeletons while delivering sensory feedback via direct cortical stimulation. His work emphasizes fully implantable systems, high-gamma signal processing, and motor recovery post-stroke or spinal cord injury. Current studies explore home-based rehabilitation using wearable grip sensors and adaptive gaming systems. Article Trends His publications highlight advancements in Bi-directional neural interfaces for motor-sensory restoration High-density electrocorticography (ECoG) for improved decoding accuracy Charge-balanced cortical stimulation safety protocols Home rehabilitation systems with quantitative compliance analysis Implantable BCI designs for clinical translation

• Neuroelectronic Interfaces
• Bioelectronics
• Tissue Engineering
• +۳ مورد دیگر

Francesca Santoro is a Professor jointly appointed at RWTH Aachen University (where she heads the Neuroelectronic Interfaces Lab) and Forschungszentrum Jülich (IBI-3 research group). She specializes in neuroelectronic interfaces, bioelectronics, and tissue engineering, with a focus on treating neurodegenerative diseases using chip-based technologies. Education: PhD in Electrical Engineering & Information Technology, RWTH Aachen/Forschungszentrum Jülich (2014) Master’s in Biomedical Engineering, University of Naples Federico II (2010) Bachelor’s in Biomedical Engineering, University of Naples Federico II (2008) Research: Her work bridges bioelectronics and regenerative medicine, emphasizing neural interface design, neuromorphic devices, and nanotechnology for brain repair. Recent innovations include light-mediated bioelectronics and organic electrochemical neurons that mimic biological systems. Publications: Her 15 most recent articles (2020–2025) cluster around neurohybrid systems, nanotechnology-driven neural interfaces, and organic neuromorphic devices, reflecting a consistent focus on bioelectronic solutions for neurological disorders. Awards: ERC Starting Grant (2020) Falling Walls Science Breakthrough in Engineering (2021) MIT Innovator Under 35 Europe/Italy (2018) Leopoldina Early Career Award (2022) Heart Rhythm Society Fellowship (2016) Leadership: She founded the Tissue Electronics Lab at the Italian Institute of Technology (2017–2021), co-founded BRYLA, and leads interdisciplinary teams developing next-generation neural interfaces.

• Medical Imaging
• Ultrasound Tomography
• Image Registration
• +۴ مورد دیگر

Torsten Hopp is a Research Associate at the Institute for Data Processing and Electronics (IPE) at Karlsruhe Institute of Technology (KIT). His work focuses on advanced medical imaging technologies, particularly 3D ultrasound computer tomography (USCT) and its integration with MRI and X-ray modalities for breast cancer diagnosis. Research Interests: Ultrasound tomography system development Image registration algorithms Machine learning applications in medical imaging Biomechanical and computational modeling GPU-accelerated image reconstruction Multimodal imaging for clinical workflows Publication Trends: Torsten Hopp has contributed extensively to the evolution of 3D USCT, with recent work emphasizing deep learning integration , refraction correction , and patient-specific modeling . His research bridges hardware innovation (e.g., PtQube device) with computational methods for clinical translation. Labs & Teams: Affiliated with KIT's Institute for Data Processing and Electronics , he collaborates on projects like the High Data Rate Processing and Analysis Initiative , advancing ultrasound tomography for breast cancer screening.

• Flexible Electronics
• Electronic Skin
• Nanofabrication
• +۳ مورد دیگر

Dr. Chuanfei Guo is a tenured Professor at the Southern University of Science and Technology (SUSTech) and serves as editor for Materials Today Physics and Soft Science . His research focuses on high-performance electronic skins , human-body flexible electronics , and unconventional micro-nano fabrication . Education : PhD in Materials Science (2011, National Center for Nanoscience and Technology) Appointments : Boston College (Postdoc, 2011-2012), University of Houston (Research Associate, 2013-2016), SUSTech (Associate Professor 2016-2021, Tenured Professor 2021-present) Research Themes : Development of ultra-sensitive electronic skins with cross-talk-free sensing and environmental stability Innovation in epidermal and implantable bioelectronics using conductive hydrogels Cost-effective biomimetic nanofabrication techniques for scalable microstructures Scientific Contributions include: Over 130 publications in top journals (Nature Materials, Nat. Commun., PNAS, etc.) 40+ patents (24 granted, including 4 US patents) Recipient of Beijing Natural Science Prize and Guangdong Distinguished Young Scholar Fund Leadership in Zhujiang Talent Program and SUSTech-MIT Joint Center projects

• High-Performance Integrated Circuit Design
• Artificial Intelligence Accelerators
• Digital Signal Processing Chips
• +۳ مورد دیگر

Dr. Fengwei An is an Associate Professor at the Shenzhen-Hong Kong Institute of Microelectronics , Southern University of Science and Technology (SUSTech). He earned his Ph.D. in Engineering from Hiroshima University (2013) , following a Master's (2010) and Bachelor's (2006) from Qingdao University of Science and Technology. Current Role : 2025-Present - Associate Dean and Associate Professor, SUSTech Shenzhen-Hong Kong Institute of Microelectronics Prior Academic Roles : 2017-2018 - Associate Professor, Hiroshima University; 2013-2017 - Assistant Professor, Hiroshima University Industry Experience : 2018-2019 - Chief Engineer, Panasonic Semiconductor Co., Ltd., Japan Research Interests focus on low-power edge artificial intelligence chip design for computer vision, including: Ultra-large-scale digital integrated circuit design System-on-Chip (SoC) integration Image processing and recognition Machine learning hardware Autonomous driving applications High-speed motion tracking systems Publications include over 80 top-tier journal/conference papers (e.g., TCAS-I/II, ESSCIRC, APCCAS) on AI accelerators, stereo vision processors, and sensor interfaces, with 15 recent articles highlighting advancements in stereo matching, video denoising, and reconfigurable coprocessors. Scientific Awards : 2023 - SUSTech Outstanding Teaching Award 2022 - APCCAS Best Paper Nomination 2022 - PrimeAsia Bronze Leaf Award 2020 - Wu Wenjun Artificial Intelligence Science and Technology Award (Second Prize) Patents : 9 Chinese and 3 Japanese inventions in AI chip design, stereo matching systems, and sensor interfaces.

• Modelling dynamic and ultrasonic response of complex structures
• Design optimisation of multifunctional structures and metamaterials
• Structural health monitoring (SHM)
• +۲ مورد دیگر

Dimitrios Chronopoulos is an Associate Professor in the Department of Mechanical Engineering at KU Leuven , Faculty of Engineering Technology. His research focuses on structural health monitoring, design optimization of composite and metamaterial structures, and wave propagation analysis for damage prognosis. Unit: Mecha(tro)nic System Dynamics (LMSD), Ghent and Aalst Campuses Research Affiliations: Leuven Centre for Affordable Sustainable Technology, LIM - KU Leuven Institute for Mobility His work integrates physics-informed machine learning and computational modeling to address challenges in predictive maintenance of smart composite systems, including aircraft and wind turbine components. Recent projects emphasize digital twins, Bayesian frameworks, and ultrasonic sensor networks for real-time damage assessment. Publications highlight trends in deep learning for SHM , topological phononic crystals , and multi-scale damage detection using hybrid models. He actively supervises students in advanced ultrasonic monitoring and predictive analytics.

A. R. Harishمشاهده پروفایل

استاد

• Antennas
• Radio Frequency Identification (RFID)
• Computational Electromagnetics
• +۲ مورد دیگر

Professor A. R. Harish serves as a faculty member in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur, specializing in Electromagnetics. His academic credentials include a PhD from IIT Kanpur (1997), M.Tech from IIT Roorkee (1990), and B.Tech from the University of Mysore (1987). Professor Harish's research interests center on antenna design, Radio Frequency Identification (RFID) technology, and computational electromagnetics. His work spans theoretical analysis, practical implementation, and commercial applications of electromagnetic systems. He has developed innovative approaches to circularly polarized antennas, reconfigurable antenna systems, and RFID-based sensing solutions with applications in crowd monitoring, inventory tracking, and environmental sensing. His publication portfolio demonstrates consistent contributions to the field of antenna engineering, with a particular focus on wideband operation, polarization diversity, and compact antenna design. Recent work shows increasing emphasis on practical applications of RFID technology and integration of advanced materials in antenna systems. Among his scientific honors are the Excellence in Teaching Award (2020) and Gopal Das Bhandari Memorial Distinguished Teacher Award (2014) from IIT Kanpur, multiple best paper awards at international conferences, and recognition as a Fellow of Institution of Engineers (India) and Senior Member of IEEE. Professor Harish has successfully mentored numerous students who have co-authored publications with him, particularly in the areas of antenna design and RFID applications. His research projects include collaborations with Honeywell, Boeing, and various government agencies, focusing on satellite communication antennas, real-time location systems, and RFID technology development. He leads research activities within the Advanced Centre for Electronic Systems (ACES) at IIT Kanpur, where his office (ACES 225B) serves as the hub for antenna design and electromagnetic research.

• Radiation Detectors
• Silicon Sensors
• CMOS Image Sensors
• +۷ مورد دیگر

Gian Franco Dalla Betta is a Full Professor at the Department of Industrial Engineering, University of Trento, and Deputy Coordinator of the Doctoral Programme in Materials, Mechatronics and Systems Engineering. His work focuses on silicon radiation detectors, CMOS image sensors, and microelectronics for high-energy physics and medical imaging applications. Secondary School Degree, Pio X Institute, Treviso (1985) M.Sc. in Electronic Engineering, University of Bologna (1992) Ph.D. in Materials, Technologies and Electronic Devices, University of Trento (1997) His research spans: Radiation detector design (PIN diodes, strip/pixel detectors, 3D sensors, LGADs) CMOS photodetectors (SPADs, SiPMs, CAPD) Radiation damage modeling and mitigation Hybrid neutron detectors and active-edge terminations Recent publications highlight advancements in 3D sensor design for timing applications, LGADs for particle tracking, and CMOS SPAD arrays. Key subfields include radiation hardness, charge multiplication, and TCAD-aided process optimization. Scientific recognition includes the IEEE Transactions on Nuclear Science 2025 Best Paper Award . His work has been instrumental in detector production for CERN experiments like ATLAS and ALICE. At ITC-IRST (now FBK), he pioneered silicon fabrication processes for radiation detectors and contributed to international collaborations such as INFN and CMS upgrades.

• Optoelectronics
• Two-dimensional materials
• Black phosphorus transistors
• +۶ مورد دیگر

Dr. CHEN Xiaolong is an Associate Professor and Doctoral Supervisor in the Department of Electrical and Electronic Engineering at Southern University of Science and Technology (SUSTech) since May 2024, having previously served as Assistant Professor from 2018-2024. His office is located in Engineering Building 223 (South Tower) at SUSTech's campus in Shenzhen, China. Dr. Chen earned his Ph.D. in Physics from Hong Kong University of Science and Technology (2010-2014) and completed his undergraduate studies in the Special Class for Gifted Young at University of Science and Technology of China. Prior to joining SUSTech, he held postdoctoral positions at Yale University (2016-2018) and University of Cambridge (2015-2016). His research focuses on pioneering work with two-dimensional materials, particularly in the areas of black phosphorus transistors, photodetectors, and light-emitting devices. Dr. Chen's work spans several key domains including miniaturized spectrometers, bulk photovoltaic effects, and infrared optoelectronics. His research has led to groundbreaking advances in single-detector-based on-chip spectrometers, polarizers, and black phosphorus mid-infrared optoelectronic devices. Analysis of his recent publications reveals a strong emphasis on van der Waals heterostructures, particularly with black phosphorus variants, for infrared detection and energy harvesting applications. His work demonstrates consistent innovation in developing novel photoelectric effects and constructing functional optoelectronic devices with new principles and mechanisms. 2022 Shenzhen Ten Excellent Young Teachers 2022 IEEE ICOCN Young Scientist Award 2019 Premier Award, the Fourth SUSTech Teaching Competition for Young Teachers 2019 Shenzhen High-level Talents 2023 & 2024 SUSTech Outstanding Doctoral Dissertation Supervisor Awards Dr. Chen actively supervises graduate students, with multiple doctoral candidates under his guidance as evidenced by his Outstanding Dissertation Supervisor awards. His research group maintains active recruitment for postdoctoral researchers and graduate students, with annual openings for 1-2 master's students (50,000 RMB scholarship) and 1-2 doctoral students (100,000 RMB scholarship). The group maintains a dedicated website for sharing research protocols and findings. His laboratory focuses on low-dimensional materials research, particularly exploring novel photoelectric effects and constructing functional optoelectronic devices. The research group maintains strong collaborations with other institutions as evidenced by co-authorships with researchers from Yale, Cambridge, and other international universities.

• Control Systems
• Automatic Control
• Embedded Systems
• +۳ مورد دیگر

Benoît Boivin serves as an Associate Professor in the Department of Automatic Control and Systems at the School of Engineering, University of Poitiers. He is an active member of the LIAS laboratory (Laboratory of Informatics and Automatic Control Systems), operating across dual sites at ENSIP in Poitiers and ISAE-ENSMA in Chasseneuil, where he contributes to the Automatic Control Team alongside Data Engineering and Real Time research groups. His research spans Control Systems , Embedded Hardware Implementation , and Industrial Sensor Applications , with specialization in multivariable PID control, FPGA-based real-time systems, and gyroscope stabilization. Key methodologies include output feedback stabilization under structural constraints and LMI optimization techniques for robust control solutions in industrial environments. Analysis of his 2002-2006 publications reveals consistent focus on bridging theoretical control design with hardware deployment, particularly for vibrating gyroscopes and asynchronous motors. His work demonstrates strong integration of Field-Programmable Gate Arrays (FPGAs) for real-time control, emphasizing industrial applicability in sensor systems and motor drives while addressing vibration challenges in precision instrumentation. Benoît Boivin operates within LIAS's collaborative framework, leveraging shared infrastructure across its three technical teams. The laboratory's dual-campus structure facilitates cross-disciplinary work between Poitiers' urban engineering hub and ISAE-ENSMA's aerospace-focused campus, supporting hardware prototyping and industrial partnership development in control system applications.

• Nuclear Nonproliferation
• Radiation Detection
• Fission Data
• +۴ مورد دیگر

Adam Hecht is a Professor of Nuclear Engineering at the University of New Mexico (UNM), leading research in radiation detection, nuclear nonproliferation, and fission data. He holds a Ph.D. from Yale University (2004) and has held academic positions since 2008, progressing from Assistant to Associate Professor before becoming full Professor in 2022. His work focuses on advanced detector development (e.g., AlSb semiconductors, perovskites), muon imaging for spent fuel verification, and machine learning applications in radiation spectroscopy. He directs the UNM Radiation Research and Detector Development (R²D²) lab and co-leads the Center for Nuclear Nonproliferation Science and Technology (CNNST). Education: Ph.D. Physics (Yale, 2004), M.Phil. (Yale, 2001), M.S. (Yale, 1998), B.S. Physics (UC Irvine, 1997). Research emphasizes fission fragment measurements, nonproliferation technologies, and environmental radiation analysis. He has authored/co-authored over 70 peer-reviewed articles, with recent work on neutron multiplicity, detector materials, and muon tomography for nuclear safeguards. Research interests span experimental nuclear physics, including SPIDER fission spectrometry, novel detector materials (AlSb, perovskites), and radiation data mining. Awards include the J.W. Gibbs Fellowship (Yale). Collaborations include LANL, UNLV, and the Canadian Penning Trap mass spectrometry projects. Students and postdocs in his lab work on projects such as fission yield measurements, neutrino detection, and neutron/gamma identification algorithms. Key contributions include the development of the UNM Fission Fragment Spectrometer and advancements in room-temperature semiconductor detectors. His work bridges fundamental nuclear science with applied security needs, including projects funded by DOE, DTRA, and NSF.

Yang Linمشاهده پروفایل

پژوهشگر

• Machine Learning
• Intelligent Image Sensors
• Computer Vision
• +۵ مورد دیگر

Yang Lin is a doctoral assistant at the AQUA Lab within the School of Engineering at École Polytechnique Fédérale de Lausanne (EPFL). He works on integrating single-photon avalanche diodes (SPADs) with artificial and spiking neural networks for biological and medical imaging applications, particularly fluorescence lifetime imaging. Ph.D. in Computational and Quantitative Biology (expected 2025), École Polytechnique Fédérale de Lausanne B.Eng. in Automation (2020), Shanghai Jiao Tong University His research focuses on developing intelligent image sensors by combining SPAD technology with neural networks, including ASIC SPAD sensors, FPGA-based processing units, and optical setups for biomedical applications. He is exploring spiking neural networks (SNNs) for energy-efficient, real-time imaging with SPADs. Yang's recent publications highlight advancements in quantum ghost imaging, SPAD sensor integration with neural networks, and fluorescence lifetime imaging. He has presented at conferences like WACV 2024 and received recognition for his work at BMPN 2022. Best Talk of a Young Researcher, BMPN 2022 He designs hardware-software co-systems for biomedical imaging and is open to research or engineering roles post-2025.

• Digital Signal Processing (DSP)
• Field-Programmable Gate Arrays (FPGA)
• Machine Learning Hardware Acceleration
• +۱۳ مورد دیگر

Gian Carlo Cardarilli is a researcher specializing in digital hardware design and machine learning acceleration. His work focuses on FPGA implementations, Residue Number System (RNS) architectures, and reconfigurable computing for applications in wireless communication, edge AI, and fault-tolerant systems. Key collaborations with institutions like IEEE and ACM through publications. Active in translating theoretical algorithms into practical hardware solutions for real-time systems. Research interests include: Optimizing deep learning models for heterogeneous platforms. Developing radiation-hardened memory systems. Creating energy-efficient signal processing architectures. Advancing reconfigurable functional units for embedded processors. His article analyses span fields like Quantum Cellular Automata , Variable Fractional Delay Filters , and RNS-Based Position Estimation , reflecting a trend toward adaptive, low-power, and domain-specific hardware.

Ken Perlinمشاهده پروفایل

استاد

• Computer Graphics
• Virtual Reality
• Human-Computer Interaction
• +۵ مورد دیگر

Ken Perlin is a Professor of Computer Science at New York University , affiliated with the NYU Future Reality Lab (FRL) and the MAGNET (Media and Games Network) . His research focuses on virtual reality, haptics, human-computer interaction, and interface design . He is renowned for pioneering Perlin Noise, a fundamental algorithm in computer graphics and animation. Perlin actively teaches graduate courses in computer graphics and virtual reality, emphasizing immersive technologies and collaborative systems. Research interests include tangible interfaces, mixed reality collaboration, multimodal interaction, and XR applications . He leads projects in shared virtual environments, force feedback systems, and AI-driven generative design. His work bridges academia and industry via startups like Tactonic (haptics) and Parallux (spatial computing). Awards: Recipient of the Academy Award for Scientific and Technical Achievement (Oscar) for Perlin Noise. His contributions to VR/AR interfaces and collaborative systems have been recognized in SIGGRAPH and CHI conferences. Labs/Teams: Directs the FRL, exploring future XR technologies. Collaborates with industry partners on tangible computing and spatial interaction systems.

Stefano FORTUNATIمشاهده پروفایل

استادیار

• Signal Processing
• Radar Systems
• Machine Learning
• +۴ مورد دیگر

Stefano Fortunati is an Assistant Professor at Telecom SudParis within the ISTeC research centre. His work focuses on advanced signal processing, radar systems, and machine learning applications in communication and sensing. He has contributed to robust statistical methods, MIMO radar technologies, and environmental monitoring using underwater gliders. His research interests include semiparametric estimation, reinforcement learning for cognitive systems, and performance bounds in parametric models. Notable contributions address elliptical distributions, target detection in dynamic environments, and distributed sensor networks. Recent work explores integrated sensing and communication (ISAC) systems, massive MIMO radar architectures, and anomaly detection algorithms. He has published extensively on topics such as compressed sensing applications and sensor calibration in airborne systems.